Project Outline: Selection of all Caucasian patients with hypothyroidism without a secondary cause of surgical removal or radiological ablation. The search is designed to eliminate subclinical hypothyroidism (by requiring that patients be on a replacement medication), medication-induced hypothyroidism (e.g., PTU, lithium, or history of amiodarone), and transient causes (e.g., pregnancy or subacute thyroiditis).
ICD 9 Codes
Fibromyalgia has been estimated to affect 12-17% of rheumatoid arthritis patients (1, 2).
This algorithm was created to identify fibromyalgia patients in a population of rheumatoid arthritis patients. The gold standard used for diagnosis of fibromyalgia was that the treating rheumatologist made a clinical diagnosis of fibromyalgia. Rheumatoid arthritis patients were identified by using a previously validated algorithm (3).
Algorithm included the following conditions:
Described in this document are the Stanford University algorithms for extracting both cases and controls of Multimodal analgesia from electronic health records (EHR) for surgical patients.
Multiple Sclerosis (MS) phenotype algorithm for the DNA Databank demonstration project.
Non-alcoholic fatty liver disease (NAFLD)
Peripheral Arterial Disease (PAD) is prevalent with approximately 10-12 million adults in US affected. For those with PAD, morbidity and mortality are high and quality of life is markedly impaired. The genetic basis of PAD is poorly understood and is the focus of the Mayo Clinic Electronic Medical Records and Genomics (eMERGE) Network study.
This algorithm predicts those who are going to be exposed to warfarin, simvastatin, or clopidogrel as three medications that have known pharmacogenomic influences. This algorithm was used to select individuals for the Vanderbilt PREDICT (Pharmacogenomic Resource for Enhanced Decisions in Care & Treatment) program, which prospectively tests individuals at risk of needing medications whose efficacy is effected by genetic variants.
For more information on PREDICT, see http://mydruggenome.org.
This is PhEMA (Phenotype Execution Modeling Architecture, projectphema.org)'s implementation of the following BPH (Benign Prostatic Hyperplasia) case algorithm from the following BPH case and control algorithm on PheKB:
Artifacts for this phenotype, inc. an HQMF representation, a KNIME workflow that can run against an i2b2 instance, and a snapshot of the PhAT graphical representation, are posted on GitHub: